this post was submitted on 08 Dec 2023
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Programming

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[–] Black616Angel@feddit.de 34 points 10 months ago (1 children)

Q: Why didn't you write this in $NEW_LANGUAGE instead of crufty C++? A: I probably should have! $NEW_LANGUAGE is deservedly attracting a lot of attention for its combination of safety, readable syntax, and support for modern programming paradigms. I've been trying out $NEW_LANGUAGE and want to write more code in it. But for this I chose C++ because it's supported on all platforms, lots of people know how to use it, and it still supports high-level abstractions (unlike C.)

Lol

[–] lupec@lemm.ee 12 points 10 months ago* (last edited 10 months ago) (1 children)

As someone who clicked partly to check if it was Rust-based, I think that's a 100% fair call-out lol

[–] Black616Angel@feddit.de 4 points 10 months ago
[–] jormaig@programming.dev 10 points 10 months ago

What's the difference between this and CBOR?

[–] bitcrafter@programming.dev 6 points 10 months ago

Q: Why the name "Fleece"?

A: It's a reference to the mythical Golden Fleece, the treasure sought by Jason [emphasis mine] and the Argonauts.

I see what you did there...

[–] demesisx@infosec.pub 4 points 10 months ago (1 children)

This post leads me to piggyback and see what people think of lambdabuffers (which are not my work but something I became aware of through the Haskell community).

[–] lupec@lemm.ee 2 points 10 months ago (1 children)

I don't have much experience with similar tools but that looks quite interesting, thanks for sharing!

[–] demesisx@infosec.pub 2 points 10 months ago

No problem! I plan to teach for them when/if iterop becomes difficult when sending data between WASM, Haskell, Plutus, and Purescript.

[–] mrkite@programming.dev 4 points 10 months ago (1 children)

Interesting. A year ago I was looking for something exactly like this for distributing data between multiple servers. Everything required a ton of overhead or was too big to use. I ended up just using json. I did discover that Brotli can compress 3 gigs of json down into just 70 megs nearly instantly.